Zuzana Kukelova

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Tomas PajdlaAssociate professor, Czech Technical University in PragueVerified email at cvut.cz
Martin BujnakResearch and developmentVerified email at cmp.felk.cvut.cz
Viktor LarssonAssistant Professor at Lund UniversityVerified email at math.lth.se
Čeněk AlblCTO, Diminished RealityVerified email at diminishedreality.com
Daniel BarathETH ZürichVerified email at ethz.ch
Jan HellerCzech Technical University in PragueVerified email at cmp.felk.cvut.cz
Andrew FitzgibbonGraphcoreVerified email at fitzgibbon.ie
Torsten SattlerSenior Researcher, Czech Technical University in PragueVerified email at cvut.cz
Kalle ÅströmProfessor, Centre for Mathematical Sciences, Lund University, SwedenVerified email at maths.lth.se
James PrittsCzech Technical University (CIIRC)Verified email at cvut.cz
Ondrej ChumCMP, CTU in PragueVerified email at cmp.felk.cvut.cz
Snehal BhayaniUniversity Of OuluVerified email at oulu.fi
Janne HeikkiläProfessor of Computer Science and Engineering, University of OuluVerified email at oulu.fi
Michal PolicPhD student, Czech Technical University in PragueVerified email at cvut.cz
Martin ByrödLunds universitetVerified email at maths.lth.se
Marc PollefeysProfessor of Computer Science, ETH Zurich, and Director Mixed Reality and AI Lab Zurich, MicrosoftVerified email at inf.ethz.ch
Bernd SturmfelsDirector of the Max Planck Institute for Mathematics in the Sciences in Leipzig, GermanyVerified email at mis.mpg.de
Joe KileelAssistant Professor, University of Texas at AustinVerified email at math.utexas.edu
Filip ŠrajerCisco SystemsVerified email at cisco.com
Akihiro SugimotoNational Institute of InformaticsVerified email at nii.ac.jp

Zuzana Kukelova

Assistant Professor, Czech Technical University in Prague

Verified email at cmp.felk.cvut.cz - Homepage

Computer vision Minimal problems Algebraic geometry


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Automatic generator of minimal problem solvers Z Kukelova, M Bujnak, T Pajdla Computer Vision–ECCV 2008: 10th European Conference on Computer Vision …, 2008	291	2008
A general solution to the P4P problem for camera with unknown focal length M Bujnak, Z Kukelova, T Pajdla 2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008	202	2008
Closed-form solutions to minimal absolute pose problems with known vertical direction Z Kukelova, M Bujnak, T Pajdla Computer Vision–ACCV 2010: 10th Asian Conference on Computer Vision …, 2011	124	2011
Polynomial Eigenvalue Solutions to the 5-pt and 6-pt Relative Pose Problems. Z Kukelova, M Bujnak, T Pajdla BMVC 2 (5), 2008, 2008	121	2008
New efficient solution to the absolute pose problem for camera with unknown focal length and radial distortion M Bujnak, Z Kukelova, T Pajdla Computer Vision–ACCV 2010: 10th Asian Conference on Computer Vision …, 2011	116	2011
Real-time solution to the absolute pose problem with unknown radial distortion and focal length Z Kukelova, M Bujnak, T Pajdla Proceedings of the IEEE International Conference on Computer Vision, 2816-2823, 2013	113	2013
A minimal solution to the autocalibration of radial distortion Z Kukelova, T Pajdla 2007 IEEE Conference on Computer Vision and Pattern Recognition, 1-7, 2007	92	2007
Polynomial eigenvalue solutions to minimal problems in computer vision Z Kukelova, M Bujnak, T Pajdla IEEE Transactions on Pattern Analysis and Machine Intelligence 34 (7), 1381-1393, 2011	87	2011
R6p-rolling shutter absolute camera pose C Albl, Z Kukelova, T Pajdla Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015	76*	2015
Fast and robust numerical solutions to minimal problems for cameras with radial distortion M Byrod, Z Kukelova, K Josephson, T Pajdla, K Astrom 2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008	66	2008
3d reconstruction from image collections with a single known focal length M Bujnak, Z Kukelova, T Pajdla 2009 IEEE 12th International Conference on Computer Vision, 1803-1810, 2009	64	2009
Radial distortion homography Z Kukelova, J Heller, M Bujnak, T Pajdla Proceedings of the IEEE conference on computer vision and pattern …, 2015	60	2015
A minimal solution to radial distortion autocalibration Z Kukelova, T Pajdla IEEE Transactions on Pattern Analysis and Machine Intelligence 33 (12), 2410 …, 2011	60	2011
Beyond grobner bases: Basis selection for minimal solvers V Larsson, M Oskarsson, K Astrom, A Wallis, Z Kukelova, T Pajdla Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018	51	2018
Making minimal solvers for absolute pose estimation compact and robust V Larsson, Z Kukelova, Y Zheng Proceedings of the IEEE International Conference on Computer Vision, 2316-2324, 2017	48	2017
Making minimal solvers fast M Bujnak, Z Kukelova, T Pajdla 2012 IEEE Conference on Computer Vision and Pattern Recognition, 1506-1513, 2012	47	2012
Two minimal problems for cameras with radial distortion Z Kukelova, T Pajdla 2007 IEEE 11th international conference on computer vision, 1-8, 2007	46	2007
Efficient intersection of three quadrics and applications in computer vision Z Kukelova, J Heller, A Fitzgibbon Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016	44	2016
Rolling shutter absolute pose problem with known vertical direction C Albl, Z Kukelova, T Pajdla Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016	42	2016
Fast and robust numerical solutions to minimal problems for cameras with radial distortion Z Kukelova, M Byröd, K Josephson, T Pajdla, K Åström Computer Vision and Image Understanding 114 (2), 234-244, 2010	42	2010

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